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are especially interested in individuals with both philosophical background and an understanding of recent machine learning technologies to work on topics related to explainability, interpretability, and/or
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of work and learning free of discrimination on the basis of a person’s age (40 or older), disability, whether actual or perceived by others (including service-connected disabilities), gender (including
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, condensed matter physics, or a related field, with experience in first-principles calculations and/or machine learning for materials research being highly desirable. For additional information about this
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machine learning and computational methods Work with medicinal chemists for drug discovery projects Act as key member of a multidisciplinary drug discovery project team, assisting with development
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, electrical and computer engineering, data science, informatics, biomedical engineering, or a related field. Preferred: Demonstrated expertise in AI-driven drug discovery, machine and deep learning
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service on departmental committees. The department also has curricular needs in philosophy of science, ethics, philosophy of law, and political philosophy. The candidate may also be asked to teach courses
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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) Cleaning and managing large datasets from administrative data sources or online learning platforms Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML) Learning
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, including analyzing metagenomic data (e.g., virome) and phylogenomics, statistics, and an interest in infectious disease research. The ability to develop novel computational methods using machine learning